TR-Dizin İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/396
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Article Washback effects of high-stakes language tests of Turkey (KPDS and ÜDS) on productive and receptive skills of academic personnel(JLLS, 2013) Akpınar, Kadriye Dilek; Çakıldere, BekirWashback, the impact of tests on education in general and language testing in particular, has become a popular_x000D_ area of study within educational research. This paper focuses on the washback effects of two high-stakes Foreign_x000D_ Language Tests (KPDS and UDS) of Turkey. The main concern of the study is to investigate the impact of these_x000D_ tests on receptive and productive language skills of academicians. 103 academic personnel working at Nevsehir_x000D_ University attended the study. A 26-item questionnaire was designed and administered to 103 academic personnel_x000D_ working at Nevsehir University. The data were analyzed using statistical analysis including descriptive statistics_x000D_ (frequency, percentage, mean, and standard deviation) and inferential statistics that use ANOVA to find whether_x000D_ there are significant differences between productive and receptive skills of the participants. It has been found out_x000D_ that there are significant differences between reading and writing; reading and listening, but reading and speaking_x000D_ provided insignificant results.Article TURKISH MERGERS AND ACQUISITIONS (M&As): A HISTORICAL VIEW OF CHARACTERISTICS, TRENDS, AND DIRECTIONS(Zonguldak Bülent Ecevit Üniversitesi, 2018) Genç, Ömer Faruk; Kalkan, BurakThis study analyses acquisitions that Turkish companies are involved between 1990-_x000D_ 2017 by analyzing trends in number and volume of activity, geographic dispersion of foreign_x000D_ acquirers and targets, deal characteristics. We also group acquisitions into three according to_x000D_ the home country of acquirers and targets and compare. As being the first study to analyze all_x000D_ three groups at the same time and having the most comprehensive sample in terms of period, this_x000D_ study contributes to the literature by providing a detailed and comprehensive understanding_x000D_ of Turkish M&As. We finally discuss implications for firms and policymakers while providing_x000D_ insights for future researchArticle SYSTEM DESIGN AND PROTOTYPE MANUFACTURING FOR THE RECOVERY OF LUBRICANT POWDER USED IN WIRE DRAWING PROCESS(Kahramanmaraş Sütçü İmam Üniversitesi, 2023) EREN, Orhan; GERÇEKÇİOĞLU, Eyüp; BENLİCE, Esra; YILMAZ, Erkan; DURAN, AliRecycling processes have gained great importance for both environmental and economic sustainability and_x000D_ development. A prototype system was developed using physical separations including size sieving and magnetic_x000D_ separation for the recycling of solid die soaps used as lubricants in industrial wire drawing processes. The chemical_x000D_ composition of the waste obtained after the wire drawing process was elucidated by using X-ray fluorescence (XRF)_x000D_ analysis and extraction methods. The results showed that there was 67% reusable soap in the waste, and most of the_x000D_ remaining waste was made up of metals. Parameters such as particle size, sieve pore diameters, shaking time and_x000D_ magnetic field strength were optimized and an industrial scale prototype recycling system was designed. Finally, a_x000D_ prototype recovery system was established. Scanning electron microscopy (SEM), light microscopy,_x000D_ thermogravimetric/differential thermal analyzes (TGA/DTA), X-ray fluorescence spectroscopy (XRF) and Fourier_x000D_ transform infrared spectroscopy (FTIR) were used for the characterization. 88% of the soap in the waste was_x000D_ recovered, and the soap obtained was successfully used in wire drawing process without causing any deformation in_x000D_ the wire. These findings clearly demonstrate that offered system design engineered solution has a great potential to_x000D_ become a way out point for the waste recycling gain in the recovery and reuse of lubricant powder.Article Step by Step Design Procedure of a Distribution Static Synchronous Compensator (DSTATCOM)(ÇUKUROVA ÜNİVERSİTESİ, 2015) Teke, Ahmet; Yoldaş, Yeliz; Latran, Mohammad BarghiDSTATCOM is one of the power conditioning devices that is used to mitigate power quality problems in distribution systems. The overall performance of the DSTATCOM is strictly related with the proper selection of power circuit configuration and controller algorithm. The power circuit of DSTATCOM consists of dc link capacitor, inverter and passive filter. The control circuit of DSTATCOM consists of reference signal extraction, DC link voltage control, AC voltage control and switching signal generation. Compensating current reference signal is generally derived from the measured quantities by the use of the Instantaneous Symmetrical Component Theory (ISCT) and dq theory based method. A proportional integral (PI) controller is generally used to maintain a constant voltage at the dc-link of a Voltage-Source Inverter (VSI). Furthermore, by connecting a delta connected inductor-capacitor-inductor (LCL) passive filter at inverter output, the high order harmonics generated by the DSTATCOM can be easily and effectively eliminated. This study presents the design procedures for power and control circuits of 300 kVA DSTATCOM in detail.Article On Critical Buckling Loads of Euler Columns With Elastic End Restraints(HİTİT ÜNİVERSİTESİ, 2016) Başbük, Musa; Eryılmaz, Aytekin; Coşkun, Sefa B.; Atay, Mehmet TarıkI n recent years, a great number of analytical approximate solution techniques have been introduced to find a solution to the nonlinear problems that arised in applied sciences. One of these methods is the homotopy analysis method (HAM). HAM has been successfully applied to various kinds of nonlinear differential equations. In this paper, HAM is applied to find buckling loads of Euler columns with elastic end restraints. The critical buckling loads obtained by using HAM are compared with the exact analytic solutions in the literature. Perfect match of the results veries that HAM can be used as an efficient, powerfull and accurate tool for buckling analysis of Euler columns with elastic end restraints.Article Overcoming the Obstacles of Peace Education through Wellbeing Practices(Adıyaman Üniversitesi, 2021) Bengü, Elif; Bilgin, Gülistan GurselA growing body of literature reports structural, cultural, social, and political barriers making_x000D_ it challenging and stressful to integrate peace education in teacher education and in-service_x000D_ teacher education programs. To support peace educators in achieving what they stand for, this_x000D_ study proposes integrating wellbeing practices and approaches into the curricula. Drawing_x000D_ from the fields of peace education, educational leadership and policy studies and higher_x000D_ education, this study examines wellbeing as a potentially promising scholarly field to support_x000D_ peace education scholarship. For happiness and life satisfaction, wellbeing links a person's_x000D_ physical, mental, emotional and social health factors not just to internal factors such as_x000D_ optimism, resilience and self-esteem but also external factors such as income, satisfaction at_x000D_ work and social networks. In order to explore the ways wellbeing can contribute to peace_x000D_ education, we first expand on peace education as a controversial and challenging practice_x000D_ especially for practitioners in the field. Next, we discuss wellbeing practices as they relate to_x000D_ educational settings. Finally, we discuss that peace educators can be supported by wellbeing_x000D_ practices to overcome the degrading and demotivating effects of their practices.Article Movie Recommendation Systems Based on Collaborative Filtering: A Case Study on Netflix(Erciyes Üniversitesi, 2021) Sütçü, Muhammed; Erdem, Oğuzkan; Kaya, EcemUser ratings on items like movies, songs, and shopping products are used_x000D_ by Recommendation Systems (RS) to predict user preferences for items that have_x000D_ not been rated. RS has been utilized to give suggestions to users in various domains_x000D_ and one of the applications of RS is movie recommendation. In this domain, three_x000D_ general algorithms are applied; Collaborative Filtering that provides prediction_x000D_ based on similarities among users, Content-Based Filtering that is fed from the_x000D_ relation between item-user pairs and Hybrid Filtering one which combines these_x000D_ two algorithms. In this paper, we discuss which methods are more efficient in movie_x000D_ recommendation in the framework of Collaborative Filtering. In our analysis, we use_x000D_ Netflix Prize dataset and compare well-known Collaborative Filtering methods_x000D_ which are Singular Value Decomposition, Singular Value Decomposition++, KNearest Neighbour and Co-Clustering. The error of each method is calculated by_x000D_ using Root Mean Square Error (RMSE). Finally, we conclude that K-Nearest_x000D_ Neighbour method is more successful in our dataset.Article Life Cycle Assessment of the Neutralization Process in a Textile WWTP(Erciyes Üniversitesi, 2020) Şener Fidan, Fatma; Kızılkaya Aydoğan, Emel; Uzal, NiğmetAlthough industrial wastewater treatment plants (WWTP) have become_x000D_ an important part of textile facilities in reducing environmental pollution_x000D_ problems, they also produce sludge and various emissions such as high chemical_x000D_ oxygen demand, color and conductivity which have serious negative impacts on_x000D_ the environment. One of the processes with enormous chemical consumption in_x000D_ industrial WWTP of textile facilities is the neutralization process, which aims to_x000D_ adjust the pH of the wastewater. Neutralization processes needed to be optimized_x000D_ in order to determine its overall environmental impacts and then identify the most_x000D_ environmentally appropriate options. The aim of this study is to compare the_x000D_ environmental impacts of carbon dioxide and sulfuric acid, which are two_x000D_ alternative chemicals used in the neutralization process of textile facilities, using_x000D_ Life Cycle Assessment (LCA) approach. The environmental impacts resulting from_x000D_ the use of these two chemicals proposed according to the Reference document on_x000D_ Best Available Techniques (BREF) Document for Textile Industry were revealed by_x000D_ the CML-IA method and the gate-to-gate method. According to the results, using_x000D_ carbon dioxide instead of sulfuric acid, the best improvement was in the abiotic_x000D_ depletion category with 92%, while the least improvement was in the_x000D_ eutrophication potential with 39%. No improvement was observed in the global_x000D_ warming potential and human toxicity impacts.Article Historicisizing World System Theory: Sugar and Coffee in Caribbean and in Chiapas(Gaziantep Üniv. Sosyal Bilimler Enst., 2018) Balkılıç, ÖzgürThe world system theory has been developed during the 1960s and 1970s in order to explain the economic, political and cultural relationship between developed, developing and underdeveloped countries. The main assumption of this theory is that economic and political dynamics which have progressed from the late 16th century towards contemporary ages resulted in unequal and dependent relations between these countries. Consequently, while an advanced economy and consolidated democratic-political institutions emerged in the developed countries, the developing and underdeveloped countries whose natural resources and economic assets are being exploited by the core countries are subjected to a backward economy and politically unstable systems. However, the world system theory has not gone unchallenged; on the contrary, a considerable amount of social scientists accused it of being overwhelmingly functionalist. The main weaknesses of this theory are that it ignores the local Dynamics and it, related with the first point, reduces the lower classes to the passive recipients of historical transformations. In order to fulfill these gaps in the theory, several scholars, in an attempt to explain the expansion of capitalism in non-Western regions, focus on the local dynamics of commodity chains and labor processes in these localities. Following this criticism, this paper argues that the historical development of sugar and coffee production, both of which are the most important commodities of the world trade from the early 16th century cannot be explained ignoring the local dynamics and that the local aspect of labor strategies which are designed to keep the potential producers in the land and production process must be analyzed as an important factor in the historical development of the production of these two commodities. In doing so, the article will analyze the development of labor processes and strategies in sugar and coffee production in Caribbean in the 16th and 17th centuries and Mexico-Chiapas in the 19th century, respectively.Article G7 Countries Unemployment Rate Predictions Using Seasonal Arima Garch Coupled Models(2021) MUĞALOĞLU Erhan; KILIÇ Edanur; Kılıç, Edanur; Mugaloglu, ErhanDespite the unemployment data have been recently released as seasonally adjusted, seasonality may still exist in moving average (MA) or auto-regressive (AR) terms. This can be detected by searching for a regular pattern in auto-correlation function (ACF) and partial ACF (PACF) diagrams. Therefore, models that aim to forecast unemployment rates should consider their seasonal properties so as to obtain better mean equation estimations. Univariate models mostly employ integrated ARMA (ARIMA) or generalized auto regressive conditional heteroscedastic (GARCH) models or any combination of them. Once the mean equations are structured better, GARCH estimations of variance equation is expected to perform better accuracy in forecasts. This study first examines the ACF's and PACF's of seasonally adjusted unemployment rate data in G-7 countries for 1995-2019 period. Then it compares the 4-quarter and 8-quarter ahead forecast performance of the seasonal ARIMA (SARIMA) coupled volatility models of GARCH in mean, absolute value GARCH, GJR-GARCH, exponential GARCH and asymmetric GARCH models. The performance of these models is also compared to SARIMA and MA filtered volatility models. The results show that seasonality should be re-examined even in seasonally adjusted unemployment data, since SARIMA models outperform ARIMA models in terms of out of sample forecast errors. Besides SARIMA-GARCH models provide better out of sample prediction accuracy.